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| author | Gertjan van den Burg <burg@ese.eur.nl> | 2014-08-25 14:38:03 +0200 |
|---|---|---|
| committer | Gertjan van den Burg <burg@ese.eur.nl> | 2014-08-25 14:38:03 +0200 |
| commit | 1e340d509f229120eb3aaa98c91028dc3c0d3305 (patch) | |
| tree | dd6b65c428447f179133e967eb0e0d3ce15f68ec /src/crossval.c | |
| parent | free some work arrays (diff) | |
| download | gensvm-1e340d509f229120eb3aaa98c91028dc3c0d3305.tar.gz gensvm-1e340d509f229120eb3aaa98c91028dc3c0d3305.zip | |
rename msvmmaj to gensvm
Diffstat (limited to 'src/crossval.c')
| -rw-r--r-- | src/crossval.c | 24 |
1 files changed, 12 insertions, 12 deletions
diff --git a/src/crossval.c b/src/crossval.c index 1b5a592..85f9341 100644 --- a/src/crossval.c +++ b/src/crossval.c @@ -6,16 +6,16 @@ * * @details * This file contains functions for performing cross validation. The funtion - * msvmmaj_make_cv_split() creates a cross validation vector for non-stratified - * cross validation. The function msvmmaj_get_tt_split() creates a train and + * gensvm_make_cv_split() creates a cross validation vector for non-stratified + * cross validation. The function gensvm_get_tt_split() creates a train and * test dataset from a given dataset and a pre-determined CV partition vector. * See individual function documentation for details. * */ #include "crossval.h" -#include "msvmmaj.h" -#include "msvmmaj_matrix.h" +#include "gensvm.h" +#include "gensvm_matrix.h" /** * @brief Create a cross validation split vector @@ -35,7 +35,7 @@ * for each observation on exit * */ -void msvmmaj_make_cv_split(long N, long folds, long *cv_idx) +void gensvm_make_cv_split(long N, long folds, long *cv_idx) { long i, j, idx; @@ -71,23 +71,23 @@ void msvmmaj_make_cv_split(long N, long folds, long *cv_idx) * @brief Create train and test datasets for a CV split * * @details - * Given a MajData structure for the full dataset, a previously created + * Given a GenData structure for the full dataset, a previously created * cross validation split vector and a fold index, a training and test dataset * are created. * - * @param[in] full_data a MajData structure for the entire + * @param[in] full_data a GenData structure for the entire * dataset - * @param[in,out] train_data an initialized MajData structure which + * @param[in,out] train_data an initialized GenData structure which * on exit contains the training dataset - * @param[in,out] test_data an initialized MajData structure which + * @param[in,out] test_data an initialized GenData structure which * on exit contains the test dataset * @param[in] cv_idx a vector of cv partitions created by - * msvmmaj_make_cv_split() + * gensvm_make_cv_split() * @param[in] fold_idx index of the fold which becomes the * test dataset */ -void msvmmaj_get_tt_split(struct MajData *full_data, struct MajData *train_data, - struct MajData *test_data, long *cv_idx, long fold_idx) +void gensvm_get_tt_split(struct GenData *full_data, struct GenData *train_data, + struct GenData *test_data, long *cv_idx, long fold_idx) { long i, j, k, l, test_n, train_n; |
